{"id":"W3117279376","doi":"10.3791/61408","title":"Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research","year":2020,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Driving simulation; Computer science; Human–computer interaction; Driving simulator; Simulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008480897,0.0004984596,0.0003118175,0.0005436805,0.0001540248,0.0005941457,0.0008500334,0.0005385333,0.008110573],"category_scores_gemma":[0.00261858,0.000221989,0.0004737166,0.0002937269,0.0002476549,0.0005777822,0.0009901319,0.0004083165,0.0009041578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480681,"about_ca_system_score_gemma":0.0004587555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003161061,"about_ca_topic_score_gemma":0.0003796128,"domain_scores_codex":[0.9996598,0.0001365169,0.00003139449,0.00004972797,0.0000930132,0.00002956186],"domain_scores_gemma":[0.9991366,0.0005137239,0.00005988427,0.0001034484,0.00011357,0.00007271458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002240634,0.001924898,0.007941286,0.004993319,0.0001259638,0.0013395,0.002928043,0.0282872,0.4368595,0.02367343,0.007033211,0.482653],"study_design_scores_gemma":[0.0007935453,0.01362992,0.0621122,0.001862199,0.0007195084,0.003713727,0.003111087,0.3899064,0.3053926,0.04020568,0.1779729,0.0005802712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2813431,0.001834516,0.6951151,0.0004264321,0.0003633935,0.001957935,0.001261804,0.004098766,0.01359889],"genre_scores_gemma":[0.5940313,0.001703311,0.393062,0.0001879689,0.00006616818,0.004109638,0.001032108,0.0003681941,0.005439313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008110573,"threshold_uncertainty_score":0.02713263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05987362906775064,"score_gpt":0.4161102045935551,"score_spread":0.3562365755258045,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}